JOSS Papers: ensembling

Published Papers

published Published about 1 month ago

aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis

Python

10.21105/joss.07613

published Published over 1 year ago

libEnsemble: A complete Python toolkit for dynamic ensembles of calculations

Python MATLAB Perl C

10.21105/joss.06031

published Published almost 2 years ago

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses

C Fortran Python

10.21105/joss.05291

published Published over 2 years ago

EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration

Julia

10.21105/joss.04869

published Published almost 3 years ago

stacks: Stacked Ensemble Modeling with Tidy Data Principles

R

10.21105/joss.04471

published Published over 4 years ago

MLJ: A Julia package for composable machine learning

Jupyter Notebook Julia

10.21105/joss.02704

published Published over 4 years ago

emba: R package for analysis and visualization of biomarkers in boolean model ensembles

R

10.21105/joss.02583

published Published over 5 years ago

emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

Python

10.21105/joss.01864

published Published about 6 years ago

rrcf: Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Python

10.21105/joss.01336

published Published about 7 years ago

MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack

Python

10.21105/joss.00638

Displaying papers 1 - 10 of 11 in total

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